Roche-Lima, Abiel
Rosado-Quiñones, Angélica M.
Feliu-Maldonado, Roberto A.
Figueroa-Gispert, María Del Mar
Díaz-Rivera, Jennifer
Díaz-González, Roberto G.
Carrasquillo-Carrion, Kelvin
Nieves, Brenda G.
Colón-Lorenzo, Emilee E.
Serrano, Adelfa E.
Funding for this research was provided by:
National Institute on Minority Health and Health Disparities (U54MD007600)
National Institute of Health - RISE (5R25GM061151-22)
National Institute of Health - NIGMS - RISE (R25GM061838)
Article History
Received: 21 December 2022
Accepted: 27 November 2023
First Online: 2 January 2024
Declarations
:
: The authors declare that they have no competing interests.
: This study was conducted using publicly available datasets. The antimalarial datasets included results on drugs and compounds that were freely available to the scientific community that were biologically evaluated by Mott <i>et al</i>. [CitationRef removed], and tested by Mason <i>et al</i>. [CitationRef removed]. The antibiotic dataset was also freely available to researchers [CitationRef removed]. The data were used to train and test the machine learning algorithms implemented in the MLSyPred© tool. In this research, we did not perform any biological experiments with humans or experimental animals.
: Not applicable.